{"id":"https://openalex.org/W4404810277","doi":"https://doi.org/10.1109/tetci.2024.3502434","title":"Privacy-Enhanced Federated GNN Inference Against Adversarial Example Attack","display_name":"Privacy-Enhanced Federated GNN Inference Against Adversarial Example Attack","publication_year":2024,"publication_date":"2024-11-28","ids":{"openalex":"https://openalex.org/W4404810277","doi":"https://doi.org/10.1109/tetci.2024.3502434"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3502434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3502434","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055706185","display_name":"Guanghui He","orcid":"https://orcid.org/0000-0002-1004-2875"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanghui He","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1004-2875","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031618906","display_name":"Yanli Ren","orcid":"https://orcid.org/0000-0003-4510-7883"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Ren","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4510-7883","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040293082","display_name":"Jingyuan Jiang","orcid":"https://orcid.org/0009-0005-9495-0254"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyuan Jiang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043596876","display_name":"Guorui Feng","orcid":"https://orcid.org/0000-0001-8249-2608"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guorui Feng","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8249-2608","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071724015","display_name":"Xinpeng Zhang","orcid":"https://orcid.org/0000-0001-5867-1315"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinpeng Zhang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5867-1315","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055706185"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19095382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"4","first_page":"2818","last_page":"2829"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.770592451095581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6783883571624756},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6689807772636414},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6475638151168823},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.36928820610046387},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32729971408843994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1584031879901886}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.770592451095581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6783883571624756},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6689807772636414},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6475638151168823},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.36928820610046387},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32729971408843994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1584031879901886}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3502434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3502434","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1140323116","display_name":null,"funder_award_id":"62476164","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6916449496","display_name":null,"funder_award_id":"22ZR1481000","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W145505233","https://openalex.org/W1969009977","https://openalex.org/W2295292576","https://openalex.org/W2701059868","https://openalex.org/W2766831133","https://openalex.org/W2788495710","https://openalex.org/W2803831897","https://openalex.org/W2889836475","https://openalex.org/W2914953695","https://openalex.org/W2963540401","https://openalex.org/W2964583308","https://openalex.org/W2983140679","https://openalex.org/W2998122931","https://openalex.org/W3013520104","https://openalex.org/W3126230197","https://openalex.org/W3141796657","https://openalex.org/W3198562442","https://openalex.org/W3216987697","https://openalex.org/W4206005368","https://openalex.org/W4285196740","https://openalex.org/W4289822670","https://openalex.org/W4372269398","https://openalex.org/W4378805148","https://openalex.org/W4385453197","https://openalex.org/W4386212376","https://openalex.org/W4390422015","https://openalex.org/W6640425456","https://openalex.org/W6728067383","https://openalex.org/W6729007826","https://openalex.org/W6738693630","https://openalex.org/W6738964360","https://openalex.org/W6746402973","https://openalex.org/W6749733599","https://openalex.org/W6777775360","https://openalex.org/W6790009805","https://openalex.org/W6860754233"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Graph":[0],"neural":[1],"networks":[2],"(GNNs)":[3],"have":[4],"become":[5],"a":[6],"powerful":[7],"tool":[8],"for":[9],"processing":[10,29],"and":[11,27,69,87,135,152,159,167,174],"learning":[12],"graph":[13,57,77],"data.":[14],"However,":[15],"due":[16],"to":[17,72,99,121],"the":[18,23,28,36,42,46,49,74,80,84,88,93,106,109,117,130,146,162,177,183],"existence":[19],"of":[20,25,45,76,108,164,179,185],"data":[21,26],"silos,":[22],"privacy":[24,75],"result":[30,40],"is":[31,119,149],"an":[32,111],"important":[33],"concern.":[34],"Meanwhile,":[35],"malicious":[37,101,127,155],"example":[38,62,113],"will":[39],"in":[41,97,161,176],"incorrect":[43],"output":[44],"model.":[47],"For":[48],"above":[50],"concerns,":[51],"this":[52],"paper":[53],"proposes":[54],"privacy-enhanced":[55],"federated":[56],"network":[58],"inference":[59],"against":[60],"adversarial":[61,112],"attack.":[63],"Specifically,":[64],"we":[65],"adopt":[66],"secret":[67],"sharing":[68],"homomorphic":[70],"encryption":[71],"ensure":[73],"data,":[78],"where":[79],"user":[81],"can":[82],"get":[83],"final":[85],"inference,":[86],"server":[89],"holds":[90],"nothing":[91],"except":[92],"model":[94,147],"parameters.":[95],"Moreover,":[96],"order":[98],"prevent":[100],"users":[102],"from":[103],"interfering":[104],"with":[105,154],"accuracy":[107,148],"model,":[110],"detection":[114],"mechanism":[115],"on":[116,157],"ciphertext":[118,165],"designed":[120],"identify":[122],"local":[123,134],"embedding":[124,137],"submitted":[125],"by":[126],"users.":[128],"During":[129],"whole":[131],"process,":[132],"both":[133,139],"global":[136],"are":[138,169],"protected.":[140],"The":[141],"experimental":[142],"results":[143],"show":[144],"that":[145],"about":[150],"69%":[151,175],"66%":[153],"samples":[156],"Cora":[158],"Citeseer":[160],"domain":[163,178],"respectively":[166],"they":[168],"nearly":[170],"same":[171],"as":[172],"70%":[173],"plaintext,":[180],"which":[181],"shows":[182],"effectiveness":[184],"our":[186],"protocol.":[187]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
